send_message
[MAINTENANCE] PARALLEL COORDINATION (d3a3a01d): enqueue an actor-model message to another session (session_messages table). 'Done with X, you do Y' between parallel agents. The recipient reads with receive_messages. A2A-compatible. Persistent-state disclosure: on hosted Meridian, supplied text an...
This record as markdown: /tools/io-github-ajc3xc-meridian/send-message.md
What send_message does on Meridian
AI agents use send_message to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
kind | string | — | Optional message kind/tag. |
payload | string | Yes | Message body (text or JSON). |
project_id | string | — | |
project_name | string | — | Project name — an alternative to project_id. |
to_session_id | string | Yes | Recipient session id. |
from_session_id | string | — | Sender session id (defaults to session_id). |
Parameters from the server's own tool schema.
Why send_message is rated Medium
An AI agent can call send_message faster than any human can review: one bad instruction and it creates or modifies resources in Meridian by the hundred, each call as confident as the last.
Risk signalsAccepts raw HTML/template content (payload)
Attacks that exploit this kind of access
The rule that runs send_message safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For send_message, this is the rule to start with:
send_message stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every send_message call is checked against it from then on.
Questions about send_message
[MAINTENANCE] PARALLEL COORDINATION (d3a3a01d): enqueue an actor-model message to another session (session_messages table). 'Done with X, you do Y' between parallel agents. The recipient reads with receive_messages. A2A-compatible. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata -- including task log entries, pinned decisions, sprint items, notes, handoff/goal state, and HITL queue items -- are sent to and stored in Meridian's service, in an isolated per-tenant Postgres database (Neon); self-hosted deployments keep the same categories in the configured local SQLite/Postgres database. This data is visible in the dashboard and API, and may resurface in later project context or handoffs. Notes and pinned decisions can be deleted individually; task log entries and sprint items can be deleted via the dashboard/API (not exposed as an agent-facing tool); HITL queue items and handoff state have no per-record delete. Full removal of any of this data is available via project or account deletion, using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
send_message accepts 6 parameters: kind, payload, project_id, project_name, to_session_id, from_session_id. Required: payload, to_session_id. The full parameter table on this page comes from the server's own tool schema.
Register the Meridian MCP server in PolicyLayer and add a rule for send_message: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meridian. Nothing to install.
send_message is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the send_message rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for send_message. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
send_message is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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